


*“Item numbers for 16 pairs of BFI items with opposite implications
*for personality are 1 and 21, 6 and 16, 31 and 36, 2 and 17,
*7 and 12, 27 and 42, 32 and 37, 3 and 43, 8 and 13, 18 and 33,
*23 and 28, 9 and 19, 24 and 29, 34 and 39, 5 and 35, and 30 and
*41 (Soto et al., 2008). The BFI acquiescence index is computed as
*the mean response to this set of 32 items. To center a participant’s
*BFI item responses around the acquiescence index, subtract
*their score on the index from each of their 44 item
*responses. To reverse-key a centered item response, multiply it
*by 1.”  (Soto & John 2009, 89):




***create index

gen Acq_index = (q3_1 + q3_21 +  q3_6  +  q3_16 +  q3_31  +  q3_36 +  q3_2  +  q3_17 + q3_7  +  q3_12 + q3_27  +  q3_42 +  q3_32  +  q3_37 +  q3_3 + q3_43 +  q3_8  +  q3_13 + q3_18 +  q3_33  + q3_23  +  q3_28  + q3_9  +  q3_19 + q3_24  +  q3_29 +  q3_34  +  q3_39 +  q3_5  +  q3_35 + q3_30  + q3_41) / 32

**center personality variables

gen cq3_1 = q3_1-Acq_index
gen cq3_2 = q3_2-Acq_index
gen cq3_3 = q3_3-Acq_index
gen cq3_4 = q3_4-Acq_index
gen cq3_5 = q3_5-Acq_index
gen cq3_6 = q3_6-Acq_index
gen cq3_7 = q3_7-Acq_index
gen cq3_8 = q3_8-Acq_index
gen cq3_9 = q3_9-Acq_index
gen cq3_10 = q3_10-Acq_index
gen cq3_11 = q3_11-Acq_index
gen cq3_12 = q3_12-Acq_index
gen cq3_13 = q3_13-Acq_index
gen cq3_14 = q3_14-Acq_index
gen cq3_15 = q3_15-Acq_index
gen cq3_16 = q3_16-Acq_index
gen cq3_17 = q3_17-Acq_index
gen cq3_18 = q3_18-Acq_index
gen cq3_19 = q3_19-Acq_index
gen cq3_20 = q3_20-Acq_index
gen cq3_21 = q3_21-Acq_index
gen cq3_22 = q3_22-Acq_index
gen cq3_23 = q3_23-Acq_index
gen cq3_24 = q3_24-Acq_index
gen cq3_25 = q3_25-Acq_index
gen cq3_26 = q3_26-Acq_index
gen cq3_27 = q3_27-Acq_index
gen cq3_28 = q3_28-Acq_index
gen cq3_29 = q3_29-Acq_index
gen cq3_30 = q3_30-Acq_index
gen cq3_31 = q3_31-Acq_index
gen cq3_32 = q3_32-Acq_index
gen cq3_33 = q3_33-Acq_index
gen cq3_34 = q3_34-Acq_index
gen cq3_35 = q3_35-Acq_index
gen cq3_36 = q3_36-Acq_index
gen cq3_37 = q3_37-Acq_index
gen cq3_38 = q3_38-Acq_index
gen cq3_39 = q3_39-Acq_index
gen cq3_40 = q3_40-Acq_index
gen cq3_41 = q3_41-Acq_index
gen cq3_42 = q3_42-Acq_index
gen cq3_43 = q3_43-Acq_index
gen cq3_44 = q3_44-Acq_index






*Centered Personality coding

*Extraversion (8 items): 1, 6R, 11, 16, 21R, 26, 31R, 36
*Agreeableness (9 items): 2R, 7, 12R, 17, 22, 27R, 32, 37R, 42
*Conscientiousness (9 items): 3, 8R, 13, 18R, 23R, 28, 33, 38, 43R
*Neuroticism (8 items): 4, 9R, 14, 19, 24R, 29, 34R, 39
*Openness (10 items): 5, 10, 15, 20, 25, 30, 35R, 40, 41R, 44


gen cExtraversion = (cq3_1 + (-1*cq3_6) + cq3_11 + cq3_16 + (-1*q3_21) + cq3_26 + (-1*cq3_31) + cq3_36) / 8

summarize cExtraversion

gen cAgreeableness = ((-1*cq3_2) + cq3_7 + (-1*cq3_12) + cq3_17 + cq3_22 + (-1*cq3_27) + cq3_32 + (-1*cq3_37) + cq3_42) / 9

summarize cAgreeablenes

gen cConscientiousness = (cq3_3 + (-1*cq3_8) + cq3_13 + (-1*cq3_18) + (-1*cq3_23) + cq3_28 + cq3_33 + cq3_38 + (-1*cq3_43)) / 9

summarize cConscientiousness

gen cNeuroticism = (cq3_4 + (-1*cq3_9) + cq3_14 + cq3_19 + (-1*cq3_24) + cq3_29 + (-1*cq3_34) + cq3_39) / 8

summarize cNeuroticism 

gen cOpenness = (cq3_5 + cq3_10 + cq3_15 + cq3_20 + cq3_25 + cq3_30 + (-1*cq3_35) + cq3_40 + (-1*cq3_41) + cq3_44)/ 10

summarize cOpenness




***rescale 0 to 1 = (variable+abs(min))/(abs(min)+max)

gen cExtraversion1 = (cExtraversion + 2.625)/  (2.625+  1.71875)

summarize cExtraversion1
corr cExtraversion1 cExtraversion


gen cAgreeableness1 = (cAgreeableness + 1.930556 )/(1.930556 +  2.027778) 

summarize cAgreeableness1
corr cAgreeableness1 cAgreeableness


gen cConscientiousness1 = (cConscientiousness + 1.854167)/(1.854167 +  2.048611)  

summarize cConscientiousness1
corr cConscientiousness1 cConscientiousness


gen cNeuroticism1 = (cNeuroticism + 2.117188)/(2.117188  + 2.039063)

summarize cNeuroticism1
corr cNeuroticism1 cNeuroticism


gen cOpenness1 = (cOpenness + 1.28125 )/(1.28125  +  1.91875) 

summarize cOpenness1
corr cOpenness1 cOpenness


*create centred single components of Conscientiousness


gen C_cThoroughJob = cq3_3 
gen C_cCareless = (cq3_8)*-1
gen C_cReliableWorker= cq3_13
gen C_cDisorganized = (cq3_18) *-1
gen C_cLazy = (cq3_23) *-1
gen C_cPersevere = cq3_28 
gen C_cEfficient =cq3_33 
gen C_cPlansFollowThrough = cq3_38 
gen C_cDistracted = (cq3_43)*-1




*****Facets Centered




***Facets coding

*Assertiveness (Extraversion): 1, 6R, 21R, 26, 31R
*Activity (Extraversion): 11, 16
*Altruism (Agreeableness): 7, 22, 27R, 32
*Compliance (Agreeableness): 2R, 12R, 17
*Order (Conscientiousness): 8R, 18R
*Self-Discipline (Conscientiousness): 13, 23R, 28, 38, 43R
*Anxiety (Neuroticism): 9R, 19, 34R, 39
*Depression (Neuroticism): 4, 29
*Aesthetics (Openness): 30, 41R, 44
*Ideas (Openness): 10, 15, 25, 35R, 40

**excluded
*Extraversion (8 items): 36
*Agreeableness (9 items): 37R, 42
*Conscientiousness (9 items): 3,  33, 38
*Neuroticism (8 items):  14,  24R,  
*Openness (10 items): 5,  20,  40, 


gen cAssertive_Ext = (cq3_1 + (-1*cq3_6)  + (-1*cq3_21) + cq3_26 + (-1*q3_31)) / 5

gen cActivity_Ext = (cq3_11 + cq3_16 ) / 2

summarize cAssertive_Ext cActivity_Ext


gen cAltruism_Agr = (cq3_7 +  cq3_22 + (-1*cq3_27) + cq3_32 ) / 4

gen cComply_Agr = ((-1*cq3_2) +  (-1*cq3_12) + cq3_17 ) / 3

summarize cAltruism_Agr cComply_Agr


gen cOrder_Con = ((-1*cq3_8) +  (-1*cq3_18) ) / 2

gen cDiscipline_Con = (cq3_13 + (-1*cq3_23) + cq3_28 +  cq3_38 + (-1*cq3_43)) / 5

summarize cOrder_Con cDiscipline_Con

gen cAnxiety_Neu = ((-1*cq3_9) +  cq3_19 + (-1*cq3_34) + cq3_39) / 4

gen cDepress_Neu = (cq3_4 +  cq3_29) / 2

summarize cAnxiety_Neu cDepress_Neu

gen cAesth_Open = ( cq3_30 + (-1*cq3_41) + cq3_44)/ 3

gen cIdeas_Open = (cq3_10 + cq3_15 + cq3_25  + (-1*cq3_35) + cq3_40 )/ 5


summarize cAesth_Open cIdeas_Open


summarize C_cThoroughJob - cIdeas_Open



***rescale 0 to 1 = (variable+abs(min))/(abs(min)+max)

*cAssertive~t |      1,038   -.7323699    .7495755       -2.6        1.4
*-------------+---------------------------------------------------------
*cActivity_~t |      1,038    .2447917    .9059232    -2.5625    2.28125
*cAltruism_~r |      1,038    .5400259    .6974549    -1.9375      2.125
 *cComply_Agr |      1,038    .8021536    .7997885     -1.875   2.322917
*  cOrder_Con |      1,038    .7797748    1.006136   -2.96875    2.96875
*cDisciplin~n |      1,038    .7046423    .7784816    -1.7375     2.0875
*-------------+---------------------------------------------------------
*cAnxiety_Neu |      1,038   -.2868497    .9692241         -2          2
*cDepress_Neu |      1,038   -.3631081    1.011937     -3.375    2.15625
* cAesth_Open |      1,038     .058797    .7416924  -2.260417   2.083333
* cIdeas_Open |      1,038    .3224049    .6295977   -1.68125          2



gen cAssertive1_Ext = (cAssertive_Ext + 2.6)/ (2.6+ 1.4) 

gen cActivity1_Ext = (cActivity_Ext + 2.5625) / (2.5625+ 2.28125) 

gen cAltruism1_Agr = (cAltruism_Agr + 1.9375 ) / (1.9375  + 2.125) 

gen cComply1_Agr = (cComply_Agr + 1.875)/ (1.875 + 2.322917) 

gen cOrder1_Con = (cOrder_Con + 2.96875) / (2.96875 + 2.96875) 

gen cDiscipline1_Con = (cDiscipline_Con + 1.7375)/ (1.7375+ 2.0875) 

gen cAnxiety1_Neu = (cAnxiety_Neu + 2) / (2+2) 

gen cDepress1_Neu = (cDepress_Neu + 3.375) / (3.375+ 2.15625)

gen cAesth1_Open = ( cAesth_Open + 2.260417 ) / (2.260417 + 2.083333)

gen cIdeas1_Open = (cIdeas_Open + 1.68125 ) / (1.68125  + 2) 


summarize cAssertive1_Ext- cIdeas1_Open
